Strategies for control of eyespot <i>(Pseudocercosporella herpotrichoides)</i> in UK winter wheat and winter barley

Fitt, Bruce D.L.; Goulds, A.; Hollins, T. W.; Jones, Dennis

doi:10.1111/j.1744-7348.1990.tb04235.x

Cited by 17 publications

(17 citation statements)

References 44 publications

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“…Several studies have been conducted to analyse the effects of cropping practices on the development of eyespot on wheat [10], [29]. However, only one statistical model had been developed in order to predict the incidence of eyespot as a function of few cropping practices [29].…”

Section: Discussionmentioning

confidence: 99%

“…Excessive use of nitrogen fertilisers produces lush crops and favours eyespot through direct and indirect effects [56], [57]. However, in the case of eyespot, nitrogen availability in the soil seems to be a minor factor for the development of the disease [10], [20], [29].…”

Section: Methodsmentioning

confidence: 99%

“…It appears necessary therefore to combine various methods (cultural, genetic and chemical) in IPM strategies [19] to control eyespot on wheat. The main cultural practices that can partly control eyespot through a specific adaptation are: a low host frequency in the crop sequence, infected stubble management through adapted tillage, a late sowing date and low sowing rate [10], [20], [29] The genetic control of eyespot consists of using resistant cultivars. There are several known sources of resistance to eyespot, but only three resistance genes have been described so far [21]–[23].…”

Section: Introductionmentioning

confidence: 99%

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Injury Profile SIMulator, a Qualitative Aggregative Modelling Framework to Predict Injury Profile as a Function of Cropping Practices, and Abiotic and Biotic Environment. II. Proof of Concept: Design of IPSIM-Wheat-Eyespot

Robin

Colbach

Lucas³

et al. 2013

PLoS ONE

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IPSIM (Injury Profile SIMulator) is a generic modelling framework presented in a companion paper. It aims at predicting a crop injury profile as a function of cropping practices and abiotic and biotic environment. IPSIM's modelling approach consists of designing a model with an aggregative hierarchical tree of attributes. In order to provide a proof of concept, a model, named IPSIM-Wheat-Eyespot, has been developed with the software DEXi according to the conceptual framework of IPSIM to represent final incidence of eyespot on wheat. This paper briefly presents the pathosystem, the method used to develop IPSIM-Wheat-Eyespot using IPSIM's modelling framework, simulation examples, an evaluation of the predictive quality of the model with a large dataset (526 observed site-years) and a discussion on the benefits and limitations of the approach. IPSIM-Wheat-Eyespot proved to successfully represent the annual variability of the disease, as well as the effects of cropping practices (Efficiency = 0.51, Root Mean Square Error of Prediction = 24%; bias = 5.0%). IPSIM-Wheat-Eyespot does not aim to precisely predict the incidence of eyespot on wheat. It rather aims to rank cropping systems with regard to the risk of eyespot on wheat in a given production situation through ex ante evaluations. IPSIM-Wheat-Eyespot can also help perform diagnoses of commercial fields. Its structure is simple and permits to combine available knowledge in the scientific literature (data, models) and expertise. IPSIM-Wheat-Eyespot is now available to help design cropping systems with a low risk of eyespot on wheat in a wide range of production situations, and can help perform diagnoses of commercial fields. In addition, it provides a proof of concept with regard to the modelling approach of IPSIM. IPSIM-Wheat-Eyespot will be a sub-model of IPSIM-Wheat, a model that will predict injury profile on wheat as a function of cropping practices and the production situation.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Injury Profile SIMulator, a Qualitative Aggregative Modelling Framework to Predict Injury Profile as a Function of Cropping Practices, and Abiotic and Biotic Environment. II. Proof of Concept: Design of IPSIM-Wheat-Eyespot

Robin

Colbach

Lucas³

et al. 2013

PLoS ONE

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“…The development of wheat cultivars with genetic resistance is recognized as the most effective, economic, environmental‐friendly and sustainable strategy to control the disease. Previous reviews mainly concerned epidemiology and management of eyespot (Fitt and Goulds 1988; Fitt et al. 1990) or the biology and genetics of Oculimacula species (Lucas et al.…”

Section: Introductionmentioning

confidence: 99%

Advances and Prospects in Wheat Eyespot Research: Contributions from Genetics and Molecular Tools

Wei

Muranty

Zhang

2011

Journal of Phytopathology

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Eyespot disease caused by the soil-borne facultative fungi Oculimacula yallundae and O. acuformis is the major component of the stem-base disease complex of wheat in temperate regions of the world with a cool and wet climate. In this review, we focus on results of genetic studies concerning both partners of the host-pathogen interaction. This comprises analyses of genetic diversity of the pathogen and identification of particular genes within it, evaluation and screening methods for host resistance, resistance sources and genetics of these resistances, breeding of resistant cultivars in wheat, and application of genetic markers in tagging and tracking of eyespot resistance genes. We also attempt to foresee some of the key issues and developments that may occur in future. The identification of markers tightly linked to eyespot resistance genes is the important research focus opening the door to marker-assisted selection of resistant varieties.

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“…Eyespot is a disease of major economic importance on winter wheat (Fitt et al ., 1990; Lucas et al ., 2000), and is caused by Oculimacula yallundae (OY, syn: Tapesia yallundae , Pseudocercosporella herpotrichoides var. herpotrichoides , W‐ or N‐type; Crous et al ., 2003) and Oculimacula acuformis (OA, syn: Tapesia acuformis , Pseudocercosporella herpotrichoides var.…”

Section: Introductionmentioning

confidence: 99%

Development ofOculimacula yallundaeandO. acuformis(eyespot) on leaf sheaths of winter wheat in the UK in relation to thermal time

et al. 2005

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In a controlled environment (15/10 ° C) (day/night) container experiment on winter wheat (cv. Avalon), eyespot incidence (percentage of plants affected) and number of leaf sheaths penetrated after 6 weeks increased with inoculum concentration (10 2 − 10 6 conidia mL) of Oculimacula yallundae (OY) or Oculimacula acuformis (OA), but there was no difference between the two species. In an outdoor container experiment, seedlings inoculated with OY 2 weeks after sowing had a greater incidence of eyespot than those inoculated with OA, when assessed 7 weeks after inoculation. Seedlings inoculated with OA at 10 or 20 weeks after sowing developed more severe eyespot by maturity than those inoculated with OY. In an experiment at 15/10 ° C with seedlings inoculated with OY + OA 2 weeks after sowing, more leaf sheaths were penetrated by OY (3·0 per plant) than OA (2·3 per plant) 6 weeks after inoculation. Field experiments with winter wheat consistently showed leaf sheath production, leaf sheath death, and number of leaf sheaths infected or penetrated by OA or OY were related linearly to thermal time ( ° C days) after sowing. Depending on cultivar, season and sample, a new leaf sheath was produced in 116-216 ° C days; a leaf sheath died in 221-350 ° C days; and infection of a new leaf sheath occurred in 129-389 ° C days. The mean number of living leaf sheaths infected differed between samples, cultivars and seasons for both OY and OA. Regression analysis of the 1985/86 data suggested that OY progressed more rapidly than OA through the leaf sheaths, and that both the pathogens progressed more rapidly than the rate of leaf sheath death, but more slowly than the rate at which leaf sheaths were produced. It also suggested that OA progressed more slowly than the rate at which leaf sheaths died in 1987/88, but OY did not.

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Strategies for control of eyespot (Pseudocercosporella herpotrichoides) in UK winter wheat and winter barley

Cited by 17 publications

References 44 publications

Injury Profile SIMulator, a Qualitative Aggregative Modelling Framework to Predict Injury Profile as a Function of Cropping Practices, and Abiotic and Biotic Environment. II. Proof of Concept: Design of IPSIM-Wheat-Eyespot

Injury Profile SIMulator, a Qualitative Aggregative Modelling Framework to Predict Injury Profile as a Function of Cropping Practices, and Abiotic and Biotic Environment. II. Proof of Concept: Design of IPSIM-Wheat-Eyespot

Advances and Prospects in Wheat Eyespot Research: Contributions from Genetics and Molecular Tools

Development ofOculimacula yallundaeandO. acuformis(eyespot) on leaf sheaths of winter wheat in the UK in relation to thermal time

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